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A quick guide to deep learning - what is it and how can it be useful?

Robot Lab

Deep learning is a subset of machine learning that uses algorithms built on neural networks modeled after the human brain. With multiple layers working together inside the computer, artificial neurons or ‘nodes’ use mathematical calculations to process data to solve complex problems, much like how our own brains do.

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This Is Your Brain on Math: The Science Behind Culturally Responsive Instruction

ED Surge

Though some argue that mathematics is culturally independent, I can say from experience that it is anything but. Culture embodies our deepest collective social norms and beliefs, and provides the reference points for future learning. The brain makes sense of the world, and mathematics, through culture.

Math 310
educators

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Prioritizing participation

Robert Talbert, Ph.D.

For example, in my discrete structures course one of the major topics -- and by far one of the hardest concepts -- is proofs that use mathematical induction. We hope to create an environment where active learning takes root organically. Bonus thoughts I'm still curious about two-stage exams.

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How can intelligent systems revolutionise healthcare?

Futurum

To tackle these challenges, deep-learning methods are being developed which can automatically learn and identify patterns from vast amounts of data.” These deep-learning algorithms aim to improve the accuracy, efficiency and personalisation of healthcare based on smart home sensor data.

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Plugging in: directly linking the brain to a computer

Futurum

The accuracy of machine learning provides another limitation, though this is a rapidly advancing field. Recent progress in deep learning provides substantial potential benefits for neural networks, computer vision and BCI techniques,” says CT. Download the article. Reference [link]. Link to the activity sheet.

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Online battles: combatting false information and reducing online risks

Futurum

Deepfake — manipulation of existing digital media (image, video and/or audio) – e.g., by swapping faces and changing voices – or creation of new media, typically using machine learning-based techniques such as deep learning. For technical degrees and careers, subjects like computer science and mathematics can be useful.

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How can place attachment improve scientific literacy?

Futurum

Ben and Julia found that COASST participants improve their identification accuracy over time – a result of repeated and consistent identification practice and engagement with COASST staff who train and provide opportunities to learn.